CMSgov/dpc-app

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dpc-api/src/main/java/gov/cms/dpc/api/cli/keys/KeyUpload.java

Summary

Maintainability
A
1 hr
Test Coverage
A
98%

Replace this use of System.out or System.err by a logger.
Open

        System.out.println(String.format("Connecting to API service at: %s", apiService));

When logging a message there are several important requirements which must be fulfilled:

  • The user must be able to easily retrieve the logs
  • The format of all logged message must be uniform to allow the user to easily read the log
  • Logged data must actually be recorded
  • Sensitive data must only be logged securely

If a program directly writes to the standard outputs, there is absolutely no way to comply with those requirements. That's why defining and using a dedicated logger is highly recommended.

Noncompliant Code Example

System.out.println("My Message");  // Noncompliant

Compliant Solution

logger.log("My Message");

See

Replace this use of System.out or System.err by a logger.
Open

                System.out.println(String.format("Organization token: %s", token));

When logging a message there are several important requirements which must be fulfilled:

  • The user must be able to easily retrieve the logs
  • The format of all logged message must be uniform to allow the user to easily read the log
  • Logged data must actually be recorded
  • Sensitive data must only be logged securely

If a program directly writes to the standard outputs, there is absolutely no way to comply with those requirements. That's why defining and using a dedicated logger is highly recommended.

Noncompliant Code Example

System.out.println("My Message");  // Noncompliant

Compliant Solution

logger.log("My Message");

See

Replace this use of System.out or System.err by a logger.
Open

                    System.err.println("Error fetching organization: " + response.getStatusLine().getReasonPhrase());

When logging a message there are several important requirements which must be fulfilled:

  • The user must be able to easily retrieve the logs
  • The format of all logged message must be uniform to allow the user to easily read the log
  • Logged data must actually be recorded
  • Sensitive data must only be logged securely

If a program directly writes to the standard outputs, there is absolutely no way to comply with those requirements. That's why defining and using a dedicated logger is highly recommended.

Noncompliant Code Example

System.out.println("My Message");  // Noncompliant

Compliant Solution

logger.log("My Message");

See

Use already-defined constant 'KEY_FILE' instead of duplicating its value here.
Open

                .addArgument("key-file")

Duplicated string literals make the process of refactoring error-prone, since you must be sure to update all occurrences.

On the other hand, constants can be referenced from many places, but only need to be updated in a single place.

Noncompliant Code Example

With the default threshold of 3:

public void run() {
  prepare("action1");                              // Noncompliant - "action1" is duplicated 3 times
  execute("action1");
  release("action1");
}

@SuppressWarning("all")                            // Compliant - annotations are excluded
private void method1() { /* ... */ }
@SuppressWarning("all")
private void method2() { /* ... */ }

public String method3(String a) {
  System.out.println("'" + a + "'");               // Compliant - literal "'" has less than 5 characters and is excluded
  return "";                                       // Compliant - literal "" has less than 5 characters and is excluded
}

Compliant Solution

private static final String ACTION_1 = "action1";  // Compliant

public void run() {
  prepare(ACTION_1);                               // Compliant
  execute(ACTION_1);
  release(ACTION_1);
}

Exceptions

To prevent generating some false-positives, literals having less than 5 characters are excluded.

Use already-defined constant 'SIGNATURE_FILE' instead of duplicating its value here.
Open

                .addArgument("signature-file")

Duplicated string literals make the process of refactoring error-prone, since you must be sure to update all occurrences.

On the other hand, constants can be referenced from many places, but only need to be updated in a single place.

Noncompliant Code Example

With the default threshold of 3:

public void run() {
  prepare("action1");                              // Noncompliant - "action1" is duplicated 3 times
  execute("action1");
  release("action1");
}

@SuppressWarning("all")                            // Compliant - annotations are excluded
private void method1() { /* ... */ }
@SuppressWarning("all")
private void method2() { /* ... */ }

public String method3(String a) {
  System.out.println("'" + a + "'");               // Compliant - literal "'" has less than 5 characters and is excluded
  return "";                                       // Compliant - literal "" has less than 5 characters and is excluded
}

Compliant Solution

private static final String ACTION_1 = "action1";  // Compliant

public void run() {
  prepare(ACTION_1);                               // Compliant
  execute(ACTION_1);
  release(ACTION_1);
}

Exceptions

To prevent generating some false-positives, literals having less than 5 characters are excluded.

Identical blocks of code found in 2 locations. Consider refactoring.
Open

            try (CloseableHttpResponse response = httpClient.execute(post)) {
                if (!HttpStatus.isSuccess(response.getStatusLine().getStatusCode())) {
                    System.err.println("Error fetching organization: " + response.getStatusLine().getReasonPhrase());
                    System.exit(1);
                }
dpc-api/src/main/java/gov/cms/dpc/api/cli/tokens/TokenCreate.java on lines 72..79

Duplicated Code

Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

Tuning

This issue has a mass of 86.

We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

Refactorings

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